HPC Engineer

Overview

We are seeking an experienced High Performance Computing (HPC) Engineer to design, maintain, and optimise large-scale computing environments that support data-intensive and compute-heavy workloads. You will work closely with researchers, developers, and infrastructure teams to ensure high availability, performance, and scalability of HPC systems.

Responsibilities

• Design, deploy, and manage HPC clusters (on-prem, cloud, or hybrid)
• Install, configure, and optimise job schedulers (e.g. Slurm, PBS, LSF)
• Tune system performance for CPU, GPU, memory, storage, and network workloads
• Support users with application optimisation and parallelisation
• Automate system administration using scripting and configuration management tools
• Monitor system health, capacity, and performance
• Troubleshoot hardware, software, and performance issues
• Collaborate on future architecture planning and upgrades
• Maintain documentation and best practices

Required Skills & Experience

• Strong Linux system administration experience
• Hands-on experience with HPC environments and parallel computing
• Knowledge of MPI, OpenMP, and/or CUDA
• Experience with job schedulers (Slurm preferred)
• Familiarity with high-speed interconnects (InfiniBand, Omni-Path)
• Experience with scripting languages (Bash, Python)
• Understanding of performance profiling and optimisation techniques

Desirable Skills

• Experience with GPUs and accelerator-based systems
• Knowledge of cloud HPC (AWS, Azure, GCP)
• Experience with containers (Singularity/Apptainer, Docker)
• Configuration management tools (Ansible, Puppet, Chef)
• Experience supporting scientific or research workloads